Editors:
- Reports recent research results on intelligent computational optimization techniques in engineering
- Written by leading experts in this field
- State-of-the-Art book
Part of the book series: Studies in Computational Intelligence (SCI, volume 366)
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Table of contents (13 chapters)
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Front Matter
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Intelligent Computational Optimization in Engineering: Techniques and Applications
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Part I: Frameworks
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Front Matter
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Part II: Algorithm Integration
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Front Matter
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Part III: Applications
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Front Matter
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Back Matter
About this book
We often come across computational optimization virtually in all branches of engineering and industry. Many engineering problems involve heuristic search and optimization, and, once discretized, may become combinatorial in nature, which gives rise to certain difficulties in terms of solution procedure. Some of these problems have enormous search spaces, are NP-hard and hence require heuristic solution techniques. Another difficulty is the lack of ability of classical solution techniques to determine appropriate optima of non-convex problems. Under these conditions, recent advances in computational optimization techniques have been shown to be advantageous and successful compared to classical approaches.
This Volume presents some of the latest developments with a focus on the design of algorithms for computational optimization and their applications in practice. Through the chapters of this book, researchers and practitioners share their experience and newest methodologies with regard to intelligent optimization and provide various case studies of the application of intelligent optimization techniques in real-world applications.This book can serve as an excellent reference for researchers and graduate students in computer science, various engineering disciplines and the industry.
Editors and Affiliations
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Dept. Artificial Intelligence, Kyushu Institute of Technology, Izuka-Shi, Japan
Mario Köppen
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School of Engineering and Applied Science, Aston University, Birmingham, U.K.
Gerald Schaefer
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Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Auburn, USA
Ajith Abraham
Bibliographic Information
Book Title: Intelligent Computational Optimization in Engineering
Book Subtitle: Techniques & Applications
Editors: Mario Köppen, Gerald Schaefer, Ajith Abraham
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-21705-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2011
Hardcover ISBN: 978-3-642-21704-3Published: 15 July 2011
Softcover ISBN: 978-3-642-26940-0Published: 27 November 2013
eBook ISBN: 978-3-642-21705-0Published: 15 July 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 400
Topics: Mathematical and Computational Engineering, Artificial Intelligence